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The Presentation Format of Review Score Information Influences Consumer Preferences Through the Attribution of Outlier Reviews

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  • Camilleri, Adrian R.

Abstract

Review score information can be presented in different formats. In three online experiments, we examined consumers' behavior in the context of review scores presented in a disaggregated format (individual review scores observed sequentially and individually), an aggregated format (review scores summarized into a frequency distribution chart), or both together. Participants tended to attribute outlier review scores to reviewer rather than product reasons. This tendency was more prevalent when reviews were presented in disaggregated format. Moreover, reviews attributed to reviewer reasons tended to be perceived with low credibility. When presented with a choice between two products with equal average review scores but different variances, participants chose as if outlier review scores were discounted when scores were presented in the disaggregated format. This tendency emerged even when disaggregated and aggregated formats were presented together. The number of review scores moderated the effect of format on choice. We argue that disaggregated information allows consumers to better track the number of outliers and, when the number of outliers is small, prompts them to attribute these outliers to reviewer reasons, and subsequently discount them.

Suggested Citation

  • Camilleri, Adrian R., 2017. "The Presentation Format of Review Score Information Influences Consumer Preferences Through the Attribution of Outlier Reviews," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 1-14.
  • Handle: RePEc:eee:joinma:v:39:y:2017:i:c:p:1-14
    DOI: 10.1016/j.intmar.2017.02.002
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    Cited by:

    1. Wallbach, Sören, 2020. "Assimilation and Diffusion of Multi-Sided Platforms in Dynamic B2B Networks: Inhibiting Factors and Their Consequences," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123277, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Dirk van Straaten & Vitalik Melnikov & Eyke Hüllermeier & Behnud Mir Djawadi & René Fahr, 2021. "Accounting for Heuristics in Reputation Systems: An Interdisciplinary Approach on Aggregation Processes," Working Papers Dissertations 72, Paderborn University, Faculty of Business Administration and Economics.
    3. Liu, Fu & Wei, Haiying & Wang, Xingyuan & Zhu, Zhenzhong & Chen, Haipeng Allan, 2023. "The influence of online review dispersion on consumers’ purchase intention: The moderating role of dialectical thinking," Journal of Business Research, Elsevier, vol. 165(C).
    4. Camilleri, Adrian R. & Newell, Ben R., 2019. "Better calibration when predicting from experience (rather than description)," Organizational Behavior and Human Decision Processes, Elsevier, vol. 150(C), pages 62-82.
    5. Janina Seutter & Kristin Kutzner & Maren Stadtländer & Dennis Kundisch & Ralf Knackstedt, 2023. "“Sorry, too much information”—Designing online review systems that support information search and processing," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-19, December.
    6. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    7. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.

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